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Harshit Shah

@harshitshah2

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Data Scientist focused on GenAI, forecasting, and BI automation to drive customer and revenue growth.

Zimbabwe

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What I'm looking for

I’m looking for a team where I can own ML/GenAI products end-to-end—building reliable pipelines, forecasting, and experimentation—while partnering closely with business stakeholders to deliver clear customer and revenue impact.

I’m a Data Scientist who builds end-to-end machine learning and GenAI systems that turn messy inputs into decisions teams can act on. At Ashley Furniture Industries, I developed and deployed image similarity models for personalized recommendations, delivering a 20% increase in customer engagement and improved wholesale sales by $2 Million. I also used Placer AI and Uber H3 to build predictive models that support data-driven relocation decisions across 20+ retail stores in the USA.

I’m especially proud of how I operationalize analytics: I integrated time-series forecasting to improve store staffing efficiency by 10%, automated market and migration trend analysis via APIs to increase market share by 10%, and orchestrated an end-to-end data engineering framework (LangChain) for sentiment analysis on millions of chat messages—contributing $1 Million in sales. I’ve spearheaded GenAI chat agents to handle escalations and complaints (saving 200+ man-hours/month) and implemented LlamaIndex for faster, streamlined query retrieval across 500+ documents, improving search efficiency by 40% and halving response times. I also bring strong BI foundations through dynamic Tableau/Power BI dashboards, segmentation and causal-inference experiments (A/B and geo-lift), and mentoring—so solutions remain reliable, reproducible, and business-aligned.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Ashley Furniture Industries

Jul 2021 - Present (5 years)

Developed and deployed image similarity models for personalized furniture recommendations, improving customer engagement and wholesale sales. Built predictive and forecasting pipelines using geospatial data and automated workflows to support retail store decision-making.

Personalized Recommendations Placer.Ai Uber H3 predictive modeling Market & Migration Trend Analysis Sentiment Analysis LlamaIndex Sales Analytics

Data Analyst Intern

Sports ID, Inc

Jun 2020 - Jan 2021 (7 months)

Built a recommendation system for sport camps and improved customer segmentation using machine learning models. Automated data preprocessing and performed time series forecasting for sales order-value and order-count estimates.

Recommendation Systems Customer Segmentation Random Forest XGBoost data preprocessing Time Series

Software Engineer

Accenture

Dec 2017 - May 2019 (1 year 5 months)

Restructured ETL pipelines using Informatica Power Center to improve reporting for sales and marketing data. Optimized marketing queries and built dashboards and forecasting to improve campaign efficiency and promotions.

ETL Informatica MySQL Dashboards Sales Forecasting Query Optimization

Data Scientist / BI Engineer

Ashley Furniture Industries

Built self-service BI dashboards in Tableau and Power BI and delivered analytics for customer segmentation, assortment rationalization, and promotion optimization. Developed demand and performance forecasting models and designed A/B and geo-lift studies using causal inference methods.

Tableau Power BI Retail KPI Dashboards Customer Segmentation Demand Forecasting ARIMA Prophet XGBoost LightGBM A B Testing Causal Inference Data Visualization

Education

Degrees, certifications, and relevant coursework

University of Connecticut

Master of Science in Business Analytics and Project Management, Business Analytics and Project Management

Grade: GPA 3.5/4

Earned an M.S. in Business Analytics and Project Management with a specialization in Data Science & Business Intelligence. Completed coursework including machine learning, econometrics, applied statistics, deep learning, NLP, and business intelligence systems.

University of Mumbai

Bachelor of Engineering in Electronics & Telecommunication, Electronics and Telecommunication Engineering

2017 -

Grade: GPA 3.8/4

Earned a B.E. in Electronics & Telecommunication. Coursework covered data structures and algorithms, neural networks, probability and statistics, and object-oriented programming.